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Andreas Kirsch πŸ‡ΊπŸ‡¦
@BlackHC
My opinions only here. πŸ‘¨β€πŸ”¬ RS DeepMind 1.8y, Midjourney 1y πŸ§‘β€πŸŽ“ DPhil AIMS 4.5y πŸ§™β€β™‚οΈ RE DeepMind 1y πŸ“Ί SWE Google 3y πŸŽ“ TUM πŸ‘€ @nwspk
Oxford, England
Joined August 2009
Posts
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    Ever wondered why presenting more facts can sometimes *worsen* disagreements, even among rational people? πŸ€” It turns out, Bayesian reasoning has some surprising answers - no cognitive biases needed! Let's explore this fascinating paradox quickly ☺️
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    Everyone's arguing about whether current AI models could be conscious or not, as if it was a scientific discussion, yet I don't even know what consciousness is πŸ₯Ί
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    When I think of Jensen's inequality, I think of the following sketch which helps me remember it. Maybe this is useful for you, too. #ML #Mathematics
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    I'm late to review the "Illusion of Thinking" paper, so let me collect some of the best threads by and critical takes by @scaling01 in one place and sprinkle some of my own thoughts in as well. The paper is rather critical of reasoning LLMs (LRMs):
    🧡 1/8 The Illusion of Thinking: Are reasoning models like o1/o3, DeepSeek-R1, and Claude 3.7 Sonnet really "thinking"? πŸ€” Or are they just throwing more compute towards pattern matching? The new Large Reasoning Models (LRMs) show promising gains on math and coding benchmarks,
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    Replying to @FedorovMykhailo
    Don't use telegram. Use signal please. Telegram is not encrypted and is based in Russia 🀦
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    After 4 years, I'm kinda like: maybe I should have focused on ML engineering instead of research πŸ˜‚
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    Biggest regret: not spending more time getting the basics right at the beginning of my PhD. I started going full-time on research projects right away, and now three years later I'm still playing catch-up with some stuff I should have focused on right away
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    I'm incredibly excited about all the amazing progress in ML lately 🀯 but part of me really wished I had picked a different field because I have no idea how to keep up anymore or know what to focus on πŸ₯ΊπŸ˜‡
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    Excited to publish a Python package that turns @karpathy's "A Recipe for Training Neural Networks" into easy-to-use diagnostics code! πŸ”§ No more randomly poking around in your custom @PyTorch DNN to debug it. Get simple diagnostics for your neural nets 🫢 #PyTorch 1/
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    I got rejected from @DeepMind and @MetaAI for internships now. I guess I shouldn't have quit being an engineer five years ago πŸ˜…
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    How does one keep up with papers in ML while still finding time for foundational studies? Not even talking about doing active research. Feeling overwhelmed every day and like an imposter more and more πŸ™ˆ
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    I want to share my latest (very short) blog post: "Active Learning vs. Data Filtering: Selection vs. Rejection." What is the fundamental difference between active learning and data filtering? Well, obviously, the difference is that: 1/11
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    NeurIPS 2024 PCs being a bunch of clowns 🀑 the state of ML πŸ™„ All you get back a month after raising a concern: